 Developed and deployed more than 70 web scrapers in Python to systematically collect and preprocess data.  Utilized SQL for data querying, transformation, and loading to ensure data integrity and quality.  Performed comprehensive data cleaning and transformation to enhance data accuracy and reliability.  Created data visualizations to effectively present insights.  Applied advanced Natural Language Processing (NLP) techniques, including transliteration and sentiment analysis, for valuable information extraction from text data, including the transliteration of various languages into English, such as Gujarati.  Applied Machine Learning (ML) techniques to derive insights and predictions from data.  Employed Optical Character Recognition (OCR) to extract textual content from images, enabling the digitization of non-textual data.  Contributed to data-driven decision-making processes within the company. Skills: Statistics · SQL · Data Visualization · Machine Learning · Python (Programming Language) · Natural Language Processing (NLP) · OCR · Tableau · Microsoft Azure · Microsoft Power BI · MS-Excel

Responsibilities• Identifying valuable data sources and automate collection processes.• Undertaken pre-processing of structured and unstructured data.• Extract, manipulate, analyze & interpret large amounts of data to discover trends and patterns.• Building predictive models and machine-learning algorithms.• Combining models through ensemble modeling.• Presented information using data visualization techniques.• Proposed solutions and strategies to business challenges.• API creation using Flask for creating web-application.• Deployed the final product to the cloud.